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Operating Systems Internals Processes, Memory Management, and Kernel Architecture [#1048031]

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Operating Systems Internals: Processes, Memory Management, and Kernel Architecture by Takehiro Kanegi, Danny Munrow
English | March 8, 2026 | ISBN: B0GRPMY53W | 483 pages | EPUB | 0.75 Mb
Reactive Publishing


Modern computing systems depend on complex operating system kernels that manage processes, memory, hardware resources, and security boundaries. Understanding how these systems actually work beneath the surface is essential for systems programmers, security researchers, and performance engineers.
Operating Systems Internals provides a technical exploration of the core mechanisms that power modern operating systems. Rather than focusing only on high-level concepts, this book examines how kernels coordinate processes, manage memory, schedule workloads, and interact with hardware at a structural level.
The book walks through the internal architecture used by modern Unix-like and contemporary operating systems, explaining the design decisions that shape process management, virtual memory systems, and kernel subsystems. Readers will learn how operating systems maintain isolation between programs, allocate resources efficiently, and maintain stability in highly concurrent environments.
Through detailed explanations and architectural diagrams, the book covers topics such as process lifecycle management, context switching, memory allocation strategies, virtual memory translation, kernel data structures, scheduling strategies, and low-level system interaction.
This guide is intended for readers who want a deeper understanding of how operating systems function internally and how kernel-level components interact to form a stable computing platform.
Topics covered include:
* Process creation, scheduling, and context switching
* Kernel architecture and privilege boundaries
* Virtual memory and memory management strategies
* Page tables, memory translation, and allocation models
* System calls and kernel-user space interaction
* Kernel synchronization and concurrency mechanisms
* Resource management and system stability

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